Senior Multi-Agent Systems Engineer
Responsibilities:
* Implement robust multi-agent systems using LangGraph or the Google Agent Development Kit (ADK).
* Develop and integrate intelligent agents capable of autonomous decision-making, collaboration, and complex task execution.
* Build and maintain containerized backend applications, ensuring high performance, scalability, and reliability.
* Implement and optimize agent workflows, including prompt engineering, tool integration (e.g., API calls, database queries, web searches), and inter-agent communication.
* Leverage cloud computing platforms (GCP preferred; AWS and Azure acceptable) for deploying, managing, and monitoring multi-agent systems and their underlying infrastructure.
* Contribute to the entire software development lifecycle, from conceptualization and design to testing, deployment, and ongoing maintenance.
* Implement best practices for MLOps, CI/CD, and security in the context of agentic applications.
* Stay up-to-date with the latest advancements in large language models (LLMs), multi-agent systems, and related AI technologies.
Qualifications:
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related engineering field.
* Proven experience 3+ years in software development, with a strong focus on backend systems.
* Demonstrable experience in building and deploying multi-agent systems using either LangGraph or the Google Agent Development Kit (ADK). Please be prepared to showcase relevant projects.
* Extensive experience with containerization technologies (e.g., Docker) and serverless platforms (Preferably Google Cloud Run)
* Solid understanding of cloud computing principles and hands-on experience deploying and managing applications on at least one major cloud platform (GCP strongly preferred; AWS or Azure are also acceptable).
* Proficiency in Python + Poetry, including experience with relevant AI/ML libraries and frameworks.
* Experience with designing and implementing RESTful APIs and microservices.
* Familiarity with Vector or Graph Databases for RAG systems.
Must be able to communicate well in English. Fully remote work.
Job Type: Contract
Pay: 30,000,000₫ - 45,000,000₫ per month